The advent of generative AI is reshaping our approach to workload placement in computing environments. No longer confined to static models of resource allocation, businesses now need to consider the dynamic nature of AI tasks.
Generative models like Chat GPT require substantial computational resources, making workload placement a critical factor for optimal performance and cost-efficiency. Companies are now looking towards flexible, hybrid cloud solutions and real-time monitoring tools to adapt to the rapidly changing demands of AI-based applications.
As the article suggests, with the complexities of performance, cost, data protection and sustainability that now have to be considered by IT, it is not surprising that 92% of the IT decision makers Dell surveyed said that they have a formal strategy for deciding where to place workloads.
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